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Netlab Reference Manual mlphdotv
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<H1> mlphdotv
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<h2>
Purpose
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Evaluate the product of the data Hessian with a vector. 

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Synopsis
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<PRE>
hdv = mlphdotv(net, x, t, v)</PRE>


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Description
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<p><CODE>hdv = mlphdotv(net, x, t, v)</CODE> takes an MLP network data structure
<CODE>net</CODE>, together with the matrix <CODE>x</CODE> of input vectors, the
matrix <CODE>t</CODE> of target vectors and an arbitrary row vector <CODE>v</CODE>
whose length equals the number of parameters in the network, and
returns the product of the data-dependent contribution to the Hessian
matrix with <CODE>v</CODE>. The implementation is based on the R-propagation
algorithm of Pearlmutter.

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See Also
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<CODE><a href="mlp.htm">mlp</a></CODE>, <CODE><a href="mlphess.htm">mlphess</a></CODE>, <CODE><a href="hesschek.htm">hesschek</a></CODE><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
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<p>Copyright (c) Ian T Nabney (1996-9)


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